How to use comacrae/roberta-edav3 with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "question-answering" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # pip install "transformers<5.0.0" from transformers import pipeline pipe = pipeline("question-answering", model="comacrae/roberta-edav3")
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("comacrae/roberta-edav3") model = AutoModelForQuestionAnswering.from_pretrained("comacrae/roberta-edav3", device_map="auto")
https://huggingface.co/comacrae/roberta-edav3/resolve/main/tokenizer.json
hf download hf://comacrae/roberta-edav3/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/comacrae/roberta-edav3/resolve/main/tokenizer.json
